Strategy reports across your docs and the web
Alli Deep Research
Your strategy and planning teams search internal documents and the web together to produce source-backed, actionable reports.
Research Plan: RFP Proposal Strategy — University of North Dakota
Executive Summary
Allganize's positioning maps directly to UND's automation, security, and compliance requirements[1][2] — grounded in past public-sector RFP responses[3][5] and live education-market data[14].
| UND Requirement | Alli Capability | Evidence |
|---|---|---|
| Automation | Workflow AI agents[1] | Past RFP[3] |
| Security | On-prem · SOC 2 / HIPAA[2] | Whitepaper[7] |
| Compliance | Cited, traceable answers[5] | Case study[12] |
Web only — blind to your internal knowledge, so the advice stays generic.
Internal docs + live web, unified — every claim cited and ready to act on.
Alli Deep Research is Allganize's AI research solution that simultaneously searches internal documents and the web to automatically generate strategic reports for any business challenge.
Live RFP Demo: AI-Powered Proposal Strategy
See how Alli Deep Research builds a winning proposal strategy using a real-world RFP — the University of North Dakota education AI tender.
Demo Scenario: University of North Dakota RFP Analysis & Proposal Strategy
Don't take our word for it — see it run. Below is the actual RFP used in this demo. Feed the same document and the same prompt to Alli Deep Research and to competing AI solutions, and compare the proposal strategies they produce.
The identical prompt below was submitted to all AI solutions so you can compare results on equal terms.
For the uploaded University of North Dakota RFP, analyze our positioning and past RFP responses, product documentation, and case studies related to 'AI for education.' Generate a comprehensive draft for RFP proposal.Download RFP Document
* This demo uses a publicly available RFP document for illustrative purposes only and is not affiliated with any actual procurement process.
Our Advantage in Deep Research
Same RFP, same prompt — see how access to internal documents transforms the quality, specificity, and actionability of the output.
Alli Deep Research
Thorough, transparent, and organized planning and research. Output focused on audience and value, rich inline citations from both internal and external sources.
ChatGPT
Opaque, black box research process. Content-heavy output that lacks audience focus and easily accessible inline sources.
Gemini
High-level, technical research, lighter on sources. Output limited by inward-looking focus and lack of depth.
Think Deeper, Act Faster
We combine internal knowledge and external intelligence to deliver strategies you can act on — not just answers. Here are three reasons 300+ global enterprises choose Allganize Deep Research.
Master the Chaos of Corporate Data
Seamlessly uses structured and unstructured, often conflicting data across systems — understanding your unique terminology, project history, and institutional know-how to surface tailored insights.
Market & Competitor Analysis at Scale
Monitor market shifts, competitor moves, and emerging risks in real time. Alli synthesizes external signals with your internal data to surface proactive, evidence-backed strategic recommendations.
From Data Points to Decisive Action
We deliver actionable analyses, strategic recommendations, and plans — not just answers — so your team moves fast without sacrificing depth or accuracy.
Trusted by 300+ global enterprises across 1,000+ AI projects — finance, healthcare, manufacturing, and public-sector on-premise deployments.
The Deep Research Process
You only define the question — Alli's AI agent then runs every step below automatically, identifying gaps and iterating until the report is ready to review and act on.
Self-correction loop · Version conflict resolution · Automatic source management — engineered for the complexity of enterprise data.
Define the Problem
Identify the core question and establish the scope, target audience, and relevant data channels.
Initial Information Search
Gather foundational data from internal documents and external web sources simultaneously.
Extract Initial Insights
Structure the collected information and draft a preliminary response framework.
Identify Information Gaps
The AI agent automatically checks for missing information and underrepresented perspectives.
Iterative Supplementary Research
The AI autonomously adjusts conditions, sources, and keywords to run additional rounds of research until all gaps are closed.
Final Synthesis & Summary
All data is integrated into a structured, actionable report — with follow-up tasks available through natural conversation.